code: def linear_normalize(values):
      return (values - values.min(0, keepdims=True)) / (
          values.max(0, keepdims=True) - values.min(0, keepdims=True)
      )
  
file_path: dgl/examples/pytorch/pinsage/data_utils.py
imports: import dask.dataframe
  import dgl
  import numpy
  import scipy.sparse
  import torch
  import tqdm
label_desc: Use image node_id 4 for calling a global function with example usage: linear_normalize(values) and returns: unknown